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» Theoretical Frameworks for Data Mining
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DEXA
2008
Springer
90views Database» more  DEXA 2008»
14 years 11 months ago
Knowledge Mining for the Business Analyst
There is an extensive literature on data mining techniques, including several applications of these techniques in the e-commerce setting. However, all previous approaches require t...
Themis Palpanas, Jakka Sairamesh
ACSD
2003
IEEE
87views Hardware» more  ACSD 2003»
15 years 3 months ago
Separation of Concerns in the Formal Design of Real-Time Shared Data-Space Systems
This paper proposes a formal framework for the design of real-time shared data-space systems. The proposed method separates the concerns of functionality, behavior, and timing. Th...
Mohammad Reza Mousavi, Michel A. Reniers, Twan Bas...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 7 days ago
Sampling minimal frequent boolean (DNF) patterns
We tackle the challenging problem of mining the simplest Boolean patterns from categorical datasets. Instead of complete enumeration, which is typically infeasible for this class ...
Geng Li, Mohammed J. Zaki
CIKM
2004
Springer
15 years 3 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
PKDD
2005
Springer
117views Data Mining» more  PKDD 2005»
15 years 3 months ago
A Bi-clustering Framework for Categorical Data
Bi-clustering is a promising conceptual clustering approach. Within categorical data, it provides a collection of (possibly overlapping) bi-clusters, i.e., linked clusters for both...
Ruggero G. Pensa, Céline Robardet, Jean-Fra...